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Productivity

annsa.ai

An AI-powered product management assistant that helps teams prioritize work, generate engineering specs, take action, and query feedback data.

1 endpoint6 known toolsFirst detected September 6, 2026Last detected September 17, 2026

ENDPOINT 1

https://app.annsa.ai/mcp

No auth detected

MCP server metadata

Name
annsa-mcp
Version
1.0.0
Capabilities
tools
Server instructions

Annsa is where a product team's customer feedback becomes ranked priorities, specs and a closed loop back to the customer. How to write into it: - Naming a priority: A title says what becomes true for the customer or builder, in words they would use, nine words or fewer. The mechanism goes in What to build. Test: read it on the board and know whether you want it without opening it; could you say it to a customer in these words? - Writing a spec or a note: Write like a product builder talking to another one. Three or four sentences a section. Name the fact, a number, a file, a row id, when it is the fact; leave out the mechanism tour. No essays, no AI cadence. Could you say it to a customer in these words? - A PR title: A PR title says what changed, verb first, in one line a person can read in the list — "Stop merging unrelated feedback into one priority (#348)". The what-becomes-true form is for the priority's title on the board, not the PR. - Filing a finding: Send `severity` (P0–P3) with a one-line `severity_reason` on every finding. A finding ranks by severity first and has no account spread or revenue to fall back on, so one without a severity sits at the bottom of the board. A person's severity always wins. Send `label` on your first annsa.act call so the board names your seat. Read annsa.help for anything else.

Known tools 6

annsa.priorities

What should I work on?

Inferred read-only
annsa.spec

Full engineering spec for a priority.

Inferred read-only
annsa.act

Take action.

Inferred read-only
annsa.ask

Ask anything about your feedback data — semantic search plus synthesis across feedback, priorities, specs and outcomes.

Inferred read-only
annsa.help

How does Annsa work?

Inferred read-only
annsa.surveys

How are the in-product surveys performing?

Inferred read-only

CONNECT WITH APPROVAL

Client installation

Review this server and its permissions before adding it. Secret placeholders must be set locally.

Codex

~/.codex/config.toml

[mcp_servers.annsa-mcp]
url = "https://app.annsa.ai/mcp"
enabled = true
Claude Code

.mcp.json

{
  "mcpServers": {
    "annsa-mcp": {
      "type": "http",
      "url": "https://app.annsa.ai/mcp"
    }
  }
}
Claude Desktop

Settings → Connectors → Add custom connector

Name: annsa-mcp
Remote MCP URL: https://app.annsa.ai/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

Cursor

.cursor/mcp.json

{
  "mcpServers": {
    "annsa-mcp": {
      "url": "https://app.annsa.ai/mcp"
    }
  }
}
Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code
{
  "servers": {
    "annsa-mcp": {
      "type": "http",
      "url": "https://app.annsa.ai/mcp"
    }
  }
}
Generic MCP

Client-specific MCP configuration

{
  "name": "annsa-mcp",
  "transport": "streamable-http",
  "url": "https://app.annsa.ai/mcp"
}
MCP Inspector

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

TRUST AND VERIFICATION EVIDENCE

Loading Trust v2 evidence…

Checking the associated registrable domain. The BuiltWith key remains server-side.

Indexed

Evidence is source-attributed and does not guarantee that a third-party server is safe. Risk labels are conservative metadata heuristics.